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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-10 · Source: cerebras_official_pricing
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Llama 3.3 70B on Cerebras is a high-throughput open model for chat and generation.
llama-3.3-70b is a Text model from Cerebras (US). HotON.ai tracks it at $0.85 per 1M input tokens and $1.20 per 1M output tokens, with a 8K-token context window. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.
llama-3.3-70b is tracked at $0.85 per 1M input tokens and $1.20 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.11 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
llama-3.3-70b supports up to a 8K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, llama-3.3-70b is cheaper than 33% of models on input price and ranks #343 of 535 by overall efficiency.
Yes — minimax-m2.1 is a lower-cost option at $0.95 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — llama-3.3-70b (Cerebras): $0.85/1M input, $1.20/1M output, as of 2026-05-10. https://hoton.ai/en/models/cerebras-llama-3-3-70bPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.